clear all
set more off
set mem 10000000
set matsize 10000
version 15

********************************************
*** RDROBUST reduced-form, DISE outcomes ***
********************************************

** Set file paths
do "$path_code/paths.do"

** Set graph scheme
cd "$path/code/analyze"
set scheme fb, perm


****************************************************************** 
****************************************************************** 

{
use "$panel/panel_dataset_full.dta", clear
drop hpca11* vd*11

	// Keep villages in RD sample
gen in_fs_sample = vplan4<11 & corr_state==1 & sample==1 & sample_h==1 & sing_h==1 & pop_non_zero==1 
keep if in_fs_sample==1

	// Merge in schools outcomes at the village level
merge 1:1 pca01_id using "$panel/pca_school_selected_WIDE_new.dta", keep(3) nogen
merge 1:1 vd11_id using "$vd11/vd_2011.dta", keep(1 3) keepusing(vill_pin_11) nogen	 
gen pin_mismatch = length(sch_pincode)>1 & length(vill_pin_11)>1 & sch_pincode!=vill_pin_11

  // Averaging over post and pre years to avoid dropping so many villages
egen tot_enroll_allPOST = rowmean(tot_enroll_all2011 tot_enroll_all2012 tot_enroll_all2013 tot_enroll_all2014)
egen tot_enroll_boysPOST = rowmean(tot_enroll_boys2011 tot_enroll_boys2012 tot_enroll_boys2013 tot_enroll_boys2014)
egen tot_enroll_girlsPOST = rowmean(tot_enroll_girls2011 tot_enroll_girls2012 tot_enroll_girls2013 tot_enroll_girls2014)

egen elecanyPOST = rowmean(elecany2011 elecany2012 elecany2013 elecany2014)
egen elec_fracPOST = rowmean(elec_frac2011 elec_frac2012 elec_frac2013 elec_frac2014)

  // Construct grade enrollment variables
foreach p in all boys girls {
  foreach y in 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 {
    gen g15_enroll_`p'`y' = g1_enroll_`p'`y'+g2_enroll_`p'`y'+g3_enroll_`p'`y'+g4_enroll_`p'`y'+g5_enroll_`p'`y'
    gen g68_enroll_`p'`y' = g6_enroll_`p'`y'+g7_enroll_`p'`y'+g8_enroll_`p'`y'
  }
  egen g15_enroll_`p'POST = rowmean(g15_enroll_`p'2011 g15_enroll_`p'2012 g15_enroll_`p'2013 g15_enroll_`p'2014)
  egen g68_enroll_`p'POST = rowmean(g68_enroll_`p'2011 g68_enroll_`p'2012 g68_enroll_`p'2013 g68_enroll_`p'2014)
}

  // Construct indicator for villages with schools whose lights come on
gen no_elec = elecany2005
replace no_elec = elecany2006 if no_elec==. | (no_elec==0 & elecany2006!=.)
gen delta_elec = 0
foreach y in 2007 2008 2009 2010 2011 2012 2013 2014 {
	replace delta_elec = 1 if no_elec==0 & elecany`y'==1
}
		
	// Create state FEs (since RD robust doesn't let you pass them through)
drop if st_code==32 // Kerala, only 3 villages
tab st_code if in_fs_sample==1, gen(STFEfs)	
drop STFEfs1 // to avoid collinearity (maybe also drop STFEfs2, since STFEfs1 is Haryana?)

	// Create district FEs (since RD robust doesn't let you pass them through)
gen stdtFE = stdt
tab stdtFE state     if inlist(stdtFE,15,62,63,64,70,91,101,116,117,138,158,175,180,181,202,209,213,288,308,309,320,433,490,493,494,495,504,505,508)	
replace stdtFE = 999 if inlist(stdtFE,15,62,63,64,70,91,101,116,117,138,158,175,180,181,202,209,213,288,308,309,320,433,490,493,494,495,504,505,508)	
replace stdtFE = 999 if inlist(stdtFE,123,137,141,147,148,151,154,164,166,169,184,192,201,214,281,291,294,295,296,297,298,299,301,303,304,307,324)	
	// one catch-all district FE for districts with so few in-sample villages that they break rdrobust
tab stdtFE if in_fs_sample==1, gen(DTFEfs)	
drop DTFEfs1 // to avoid collinearity

	// Create block groups (for clustering)
egen stdtbk = group(stdt bk_code)

	// Create lights-difference variable, to identify crazy outliers
gen lights_diff = abs(lights_max2011_hat - lights_max2001_hat)

	// Create macros for lists of outcome variables 
global yvars = "tot_enroll_all2010 tot_enroll_boys2010 tot_enroll_girls2010 g15_enroll_all2010 g68_enroll_all2010 " ///
			 + "tot_enroll_all2011 tot_enroll_boys2011 tot_enroll_girls2011 g15_enroll_all2011 g68_enroll_all2011 " ///
			 + "tot_enroll_all2012 tot_enroll_boys2012 tot_enroll_girls2012 g15_enroll_all2012 g68_enroll_all2012 " ///
			 + "tot_enroll_all2013 tot_enroll_boys2013 tot_enroll_girls2013 g15_enroll_all2013 g68_enroll_all2013 " ///
			 + "tot_enroll_all2014 tot_enroll_boys2014 tot_enroll_girls2014 g15_enroll_all2014 g68_enroll_all2014 " ///
			 + "tot_enroll_allPOST tot_enroll_boysPOST tot_enroll_girlsPOST g15_enroll_allPOST g68_enroll_allPOST " ///
			 + "tot_pass_prev452014 tot_pass_prev782014 tot_pass60_prev452014 tot_pass60_prev782014 " ///
			 + "elec_frac2010 elec_frac2011 elec_frac2012 elec_frac2013 elec_frac2014 elec_fracPOST"

	// Create variables to store regresson results
gen rf_step = .
gen yvar = ""
gen ifs = ""
gen controls_base = ""
gen control = ""
gen fe = ""
gen kernel = ""
gen bwmethod = ""
gen vce = ""
gen polynomial_order = .
gen beta_conv = .
gen beta_robust = .
gen se_conv = .
gen se_robust = .
gen pval_conv = .
gen pval_robust = .
gen lci_conv = .
gen uci_conv = .
gen lci_robust = .
gen uci_robust = .
gen bw_lo = .
gen bw_hi = .
gen nobs_orig = .
gen nobs_left = .
gen nobs_right = .
gen nobs_total = .
gen ndist = . 
gen ymean = .
gen ftag = ""
global h_wide = 200


	// Massive loop over RDROBUST outcomes and sensitivities
foreach y in $yvars {

	// Prep to store results
	foreach v of varlist rf_step-ftag {
		cap replace `v' = ""
		cap replace `v' = .
	}
	local row = 0

	// Define outcome-specific stuff
	global yvar = "`y'"
	global control = subinstr("$yvar",substr("$yvar",-4,4),"2005",1)
	do "$path_code/analyze/RDROBUST_rf_outcomes_graphspecs.do"

	//Loop through sensitivities
	forvalues rf_step = 1/12 {

		// Reset RDROBUST defaults
		local ifs = "in_fs_sample==1 & pop_mismatch20==0 & lights_diff<20"
		local controls_base = "lights_max1998 lights_max1999 lights_max2000 lights_max2001 lights_max2002 lights_max2003 lights_max2004 lights_max2005" 
		local fe = "STFEfs*"
		local kernel = "tri"
		local bwmethod = "mserd"
		local vce = ""
		local poly = 1
		local graphtag = "fs"

		// Define step-specific RDROBUST settings
		if inlist(`rf_step',1) {
			local folder = "RDROBUST plots rf outcomes preferred"
			local ftag = "RF outcomes, preferred"
			local title2 = ""
		}
		if inlist(`rf_step',2) {
			local folder = "RDROBUST plots rf outcomes popmismatch"
			local ftag = "RF outcomes, popmismatch"
			local title2 = "(population mismatches)"
			local ifs = "in_fs_sample==1 & lights_diff<20"
		}
		if inlist(`rf_step',3) {
			local folder = "RDROBUST plots rf outcomes lights outliers"
			local ftag = "RF outcomes, lights outliers"
			local title2 = "(lights outliers)"
			local ifs = "in_fs_sample==1 & pop_mismatch20==0"
		}
		if inlist(`rf_step',4) {
			local folder = "RDROBUST plots rf outcomes epa kernel"
			local ftag = "RF outcomes, epa kernel"
			local title2 = "(Epanechnikov kernel)"
			local kernel = "epa"
		}
		if inlist(`rf_step',5) {
			local folder = "RDROBUST plots rf outcomes uni kernel"
			local ftag = "RF outcomes, uni kernel"
			local title2 = "(uniform kernel)"
			local kernel = "uni"
		}
		if inlist(`rf_step',6) {
			local folder = "RDROBUST plots rf outcomes no lights controls"
			local ftag = "RF outcomes, no lights controls"
			local title2 = "(no lights controls)"
			local controls_base = ""
		}
		if inlist(`rf_step',7) {
			local folder = "RDROBUST plots rf outcomes no FEs"
			local ftag = "RF outcomes, no FEs"
			local title2 = "(no fixed effects)"
			local fe = ""
		}
		if inlist(`rf_step',8) {
			local folder = "RDROBUST plots rf outcomes district FEs"
			local ftag = "RF outcomes, district FEs"
			local title2 = "(district fixed effects)"
			local fe = "DTFEfs*"
		}
		if inlist(`rf_step',9) {
			local folder = "RDROBUST plots rf outcomes nncluster by district"
			local ftag = "RF outcomes, nncluster by district"
			local title2 = "(nncluster by district)"
			local vce = "vce(nncluster stdt)"
		}
		if inlist(`rf_step',10) {
			local folder = "RDROBUST plots rf outcomes cluster by district"
			local ftag = "RF outcomes, cluster by district"
			local title2 = "(cluster by district)"
			local vce = "vce(cluster stdt)"
		}
		if inlist(`rf_step',11) {
			local folder = "RDROBUST plots rf outcomes CERRD bandwidth"
			local ftag = "RF outcomes, CERRD bandwidth"
			local title2 = "(CERRD bandwidth)"
			local bwmethod = "cerrd"
		}
		if inlist(`rf_step',12) {
			local folder = "RDROBUST plots rf outcomes no 2005 controls"
			local ftag = "RF outcomes, no 2005 control"
			local title2 = "(no 2005 control)"
			global control = ""
		}

		// Run first-stage regresssion
		rdrobust $yvar tot_p if `ifs', c(299.5) covs(`controls_base' $control `fe') kernel(`kernel') bwselect(`bwmethod') p(`poly') all `vce'

		// Generate in-sample indicator and store bandwidths
		cap drop temp_in_reg
		qui gen temp_in_reg = `ifs' & inrange(tot_p,299.5-e(h_l),299.5+e(h_r)) & ${yvar}!=.
		local h_l = e(h_l)
		local h_r = e(h_r)

		// Store results
		local row = `row' + 1
		qui replace rf_step = `rf_step' in `row'
		qui replace yvar = "$yvar" in `row'
		qui replace ifs = "`ifs'" in `row'
		qui replace controls_base = "`controls_base'" in `row'
		qui replace control = "$control" in `row'
		qui replace fe = "`fe'" in `row'
		qui replace kernel = e(kernel) in `row'
		qui replace bwmethod = e(bwselect) in `row'
		qui replace vce = "`vce'" in `row'
		qui replace polynomial_order = e(p) in `row'
		qui replace beta_conv = e(tau_cl) in `row'
		qui replace beta_robust = e(tau_bc) in `row'
		qui replace se_conv = e(se_tau_cl) in `row'
		qui replace se_robust = e(se_tau_rb) in `row'
		qui replace pval_conv = e(pv_cl) in `row'
		qui replace pval_robust = e(pv_rb) in `row'
		qui replace lci_conv = e(ci_l_cl) in `row'
		qui replace uci_conv = e(ci_r_cl) in `row'
		qui replace lci_robust = e(ci_l_rb) in `row'
		qui replace uci_robust = e(ci_r_rb) in `row'
		qui replace bw_lo = e(h_l) in `row'
		qui replace bw_hi = e(h_r) in `row'
		qui replace nobs_orig = e(N) in `row'
		qui replace nobs_left = e(N_h_l) in `row'
		qui replace nobs_right = e(N_h_r) in `row'
		qui replace nobs_total = e(N_h_l) + e(N_h_r) in `row'
		qui unique stdt if temp_in_reg==1
		qui replace ndist = r(unique) in `row'
		qui sum $yvar if temp_in_reg==1 & tot_p<299.5
		qui replace ymean = r(mean) in `row'
		qui replace ftag = "`ftag'" in `row'

		// Residualize $yvar for regression sample
		qui reg $yvar `controls_base' $control `fe' if temp_in_reg==1
		cap drop y_resid_sample
		predict y_resid_sample, residuals
		
		// Residualize $yvar for [100,500] bandwidth
		qui reg $yvar `controls_base' $control `fe' if `ifs' & inrange(tot_p,299.5-${h_wide},299.5+${h_wide})
		cap drop y_resid_full
		predict y_resid_full, residuals
		
		// RD plots for regression sample (variable bandwidth) 
		foreach bins in 10 20 40 {
			if `h_l'<=75 {
				local xlab = "250 275 300 325 350"
			}
			else if inrange(`h_l',76,125) {
				local xlab = "200 250 300 350 400"
			}
			else if inrange(`h_l',126,175) {
				local xlab = "150 200 250 300 350 400 450"
			}
			else {
				local xlab = ""
			}
			rdplot y_resid_sample tot_p if temp_in_reg==1, ///
				c(299.5) p(`poly') nbins(`bins' `bins') kernel(`kernel') h(`h_l' `h_r') ///
				graph_options( ///
				title("$title" "`title2'", color(black) size(large)) ///
				ytitle("$ytitle", size(medlarge)) ///
				xtitle("2001 village population", size(medlarge)) ///
				ylabel(,nogrid angle(0) labsize(medlarge)) ///
				xlabel(`xlab', labsize(medlarge)) ///
				graphregion(color(white)) plotregion(fcolor(white)) graphregion(lcolor(white)) ///
				legend(off))
			graph export "$results/`folder'/${yvar}_`graphtag'_inreg_`bins'.pdf", replace
		}

		if !inlist(`rf_step',11) {
			// RD plots for regression sample (constant bandwidth) 
			foreach bins in 20 40 {
				rdplot y_resid_full tot_p if `ifs' & inrange(tot_p,299.5-${h_wide},299.5+${h_wide}), ///
					c(299.5) p(`poly') nbins(`bins' `bins') kernel(`kernel') h(${h_wide} ${h_wide}) ///
					graph_options( ///
					title("$title" "`title2'", color(black) size(large)) ///
					ytitle("$ytitle", size(medlarge)) ///
					xtitle("2001 village population", size(medlarge)) ///
					ylabel(,nogrid angle(0) labsize(medlarge)) ///
					xlabel(, labsize(medlarge)) ///
					graphregion(color(white)) plotregion(fcolor(white)) graphregion(lcolor(white)) ///
					legend(off))
				graph export "$results/`folder'/${yvar}_`graphtag'_wide_`bins'.pdf", replace
			}
		}
	}

	// Save results
	preserve
	keep rf_step-ftag
	dropmiss, obs force
	if "$yvar"!="tot_enroll_all2010" {
		tempfile reg_results
		save `reg_results'
		clear
		append using "$results/RDROBUST_outcomes_rf_schools.dta" `reg_results'
	}
	duplicates drop
	compress
	save "$results/RDROBUST_outcomes_rf_schools.dta", replace
	restore
	
}



}

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